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sabato, 26 settembre 2020

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Autori:Laura Giordano
Valentina Gliozzi
Daniele Theseider Dupré
Area Scientifica:Artificial Intelligence
Knowledge Representation
Neural Networks
Titolo:On a plausible concept-wise multipreference semantics and its relations with self-organising maps
Apparso su:TR-INF-2020-09-02-UNIPMN
Editore:DiSIT, Computer Science Institute, UPO
Anno:2020
Tipo Pubblicazione:Technical Report
URL:http://www.di.unipmn.it...R-INF-2020-09-02-UNIPMN.pdf
Sommario:Inthispaperwedescribeaconcept-wisemulti-preferencesemantics for description logic which has its root in the preferential approach for modeling defeasible reasoning in knowledge representation. We argue that this proposal, beside satisfying some desired properties, such as KLM postulates, and avoiding the drowning problem, also defines a plausible notion of semantics. We motivate the plausibility of the concept-wise multi-preference semantics by developing a logical semantics of self-organising maps, which have been proposed as pos- sible candidates to explain the psychological mechanisms underlying category generalisation, in terms of multi-preference interpretations.